Hui‐Ming Kuo
- Sociology and Political Science
- Marketing top 10%
- Information Systems and Management top 10%
- Management Science and Operations Research
- Strategy and Management
- Co-authors
- Cheng‐Wu ChenChen-Yuan ChenCheng-Hua WangWan‐I LeeSheue‐Ling HwangEric Min‐yang WangChung-Shan YangChing‐Wen Chen
- Topics
- Technology Adoption and User Behaviour (5 papers)Digital Marketing and Social Media (4 papers)Sharing Economy and Platforms (2 papers)
In The Last Decade
Hui‐Ming Kuo
13 papers receiving 223 citations
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 86
- Marketing 54
- Information Systems and Management 32
- Management Science and Operations Research 28
- Strategy and Management 27
Countries citing papers authored by Hui‐Ming Kuo
This map shows the geographic impact of Hui‐Ming Kuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui‐Ming Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Ming Kuo more than expected).
Fields of papers citing papers by Hui‐Ming Kuo
This network shows the impact of papers produced by Hui‐Ming Kuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui‐Ming Kuo. The network helps show where Hui‐Ming Kuo may publish in the future.
Co-authorship network of co-authors of Hui‐Ming Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Ming Kuo. A scholar is included among the top collaborators of Hui‐Ming Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Ming Kuo. Hui‐Ming Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A BEHAVIORAL MODEL OF THE ELDERLY INTERNET CONSUMER: A CASE STUDY | 0 |
| 2 | 25 | |
| 3 | 62 | |
| 4 | 5 | |
| 5 | 34 | |
| 6 | Data Mining QFD for The Dynamic Forecasting of Life Cycle under Green Supply Chain | 5 |
| 7 | 21 | |
| 8 | Green supply implementation based on fuzzy QFD: an application in GPLM system | 3 |
| 9 | 53 | |
| 10 | Mining the body features to develop sizing systems to improve business logistics and marketing using fuzzy clustering data mining | 4 |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 24 |
About Hui‐Ming Kuo
Hui‐Ming Kuo is a scholar working on Information Systems and Management, Marketing and Management of Technology and Innovation, having authored 14 papers that have together received 252 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (4 papers) and Sharing Economy and Platforms (2 papers). The work is most often cited by research in Marketing (54 citations), Information Systems and Management (32 citations) and Human-Computer Interaction (19 citations). Hui‐Ming Kuo has collaborated with scholars based in Taiwan, Japan and Argentina. Frequent co-authors include Cheng‐Wu Chen, Chen-Yuan Chen, Cheng-Hua Wang, Wan‐I Lee, Sheue‐Ling Hwang, Eric Min‐yang Wang, Chung-Shan Yang, Ching‐Wen Chen, Chih-Hung Hsu and An-Yuan Chang. Their work appears in journals such as Expert Systems with Applications, Sustainability and Industrial Management & Data Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.